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  • UB Potsdam  (3)
  • Informationszentrum DGAP
  • Economics  (3)
  • Computer Science
  • Regressionsanalyse  (3)
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  • 1
    Online Resource
    Online Resource
    Cambridge : Cambridge University Press
    UID:
    b3kat_BV043695581
    Format: 1 Online-Ressource (xxvii, 566 Seiten)
    Edition: Second edition
    ISBN: 9781139013567
    Series Statement: Econometric society monographs volume 53
    Content: Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-1-107-01416-9
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-1-107-66727-3
    Language: English
    Subjects: Economics , Mathematics , Sociology
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    Keywords: Regressionsanalyse ; Ökonometrie
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV021658789
    Format: XVII, 411 S.
    Edition: Repr.
    ISBN: 0521632013 , 0521635675 , 9780521632010 , 9780521635677
    Series Statement: Econometric Society: Econometric Society monographs 30
    Language: English
    Subjects: Economics , Mathematics
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    Keywords: Regressionsanalyse ; Ökonometrie
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  • 3
    UID:
    gbv_73095319X
    Format: xxvii, 566 Seiten , Illustrationen , 23 cm
    Edition: Second edition
    ISBN: 9781107014169 , 9781107667273
    Series Statement: Econometric society monographs 53
    Content: Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors have conducted research in the field for more than twenty-five years. In this book, they combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics, and quantitative social sciences. The book may be used as a reference work on count models or by students seeking an authoritative overview. Complementary material in the form of data sets, template programs, and bibliographic resources can be accessed on the Internet through the authors' homepages. This second edition is an expanded and updated version of the first, with new empirical examples and more than one hundred new references added. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods.
    Note: Literaturverzeichnis: Seite 511-541
    Language: English
    Subjects: Economics , Mathematics , Sociology
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    Keywords: Regressionsanalyse ; Ökonometrie ; Lehrbuch
    URL: Cover
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